By turning qualitative, real-world conversations into a public research resource, Anthropic provides the first broad empirical basis for policy, product design, and organizational decisions about AI adoption and governance. The results highlight trade-offs—efficiency versus trust and creativity—that businesses and regulators must address as AI becomes embedded in day-to-day work.
Anthropic has launched 'Interviewer,' an AI that conducts over 1,250 real conversations with workers—ranging from everyday professionals to scientists and creatives—to capture how people actually use AI on the job. The system designs questions, conducts interviews, aggregates responses, and hands them to human researchers for deeper analysis, producing anonymized datasets now being released publicly. Initial findings show widespread productivity gains for repetitive tasks, alongside concerns about originality among creatives, trust and accuracy among scientists, and social stigma around workplace AI use. Anthropic positions the project as a large-scale, empirical window into how AI reshapes work, identity and creativity.
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